[Hiring] Senior Machine Learning Engineer @Orita
Senior Machine Learning Engineer @Orita
Artificial Intelligence
Salary usd 180,000 - 2..
Remote Location
Employment Type full-time
Posted YDay

[Hiring] Senior Machine Learning Engineer @Orita

YDay - Orita is hiring a remote Senior Machine Learning Engineer. 💸 Salary: usd 180,000 - 250,000 per year 📍Location: EST (UTC-5)

Role Description

As a Senior Machine Learning Engineer at Orita, you will:

  • Build and Productionize Models: Design, train, and deploy models that directly power our marketing-focused products, primarily for marketing use cases.
  • Develop Scalable ML Infrastructure: Architect and maintain robust, scalable, MLOps pipelines to ensure reliable training, serving, and monitoring of models in production.
  • Experiment & Optimize: Drive continuous improvement using A/B testing, uplift modeling, causal inference, and other advanced experimentation frameworks to validate and refine model performance.
  • Collaborate & Mentor: Work closely with cross-functional teams, including the CEO and CTO, to align on product goals and foster best practices for machine learning and data engineering across the organization.

Qualifications

  • 5+ years of full-time software engineering experience, including at least 3 years working on ML systems.
  • Deep knowledge of modern machine learning algorithms (tree-based methods, deep learning architectures, transformers/LLMs).
  • Hands-on experience with PyTorch, TensorFlow, XGBoost or equivalent frameworks.
  • Feature engineering using aggregations, embeddings, and sub-models.
  • Track record building production-scale ML infrastructures, ideally using GCP (Vertex AI, KubeFlow, BigQuery, etc.).
  • Familiarity with CI/CD, containerization (Docker/Kubernetes), and distributed training (Spark, Ray, Dask, etc.).
  • Experience iterating models in a production environment is a must.
  • Strong proficiency in Python (numpy, pandas, etc.).
  • Experience with scalable data processing (Spark, Ray, BigQuery).
  • Job orchestration (Airflow).
  • Comfortable with advanced experimentation techniques.
  • Understanding of performance measurement in real-world deployments.
  • Comfortable wearing many hats—data wrangling, model development, deployment, monitoring, and performance optimization.
  • Excellent communication—able to explain complex ML concepts to non-technical stakeholders.
  • Self-starter mentality with the ability to own projects from ideation to deployment, picking up and learning new technologies as needed.

Requirements

  • Familiarity with marketing technology or ads is a strong plus.
  • Experience with experimental design and methods such as causal inference or uplift modeling.
  • Exposure to modeling with LLMs and modern AI tooling.
  • Productionizing Reinforcement Learning and Bandit algorithms.
  • Ph.D in a technical field.
  • Experience in a fast-paced or startup environment.
  • You live in or near New York City. Most of us work in EST.

Benefits

  • Impact: Join a lean, agile team shaping the future of ML for leading global brands.
  • Growth: Work directly with industry veterans with strong academic and professional backgrounds.
  • Innovation: Experiment with the latest ML models, from tree-based methods to cutting-edge LLMs.
  • Culture: We value ownership, iteration, and continuous learning—everyone’s voice matters.
Before You Apply
remote Be aware of the location restriction for this remote position: EST (UTC-5)
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Senior Machine Learning Engineer @Orita
Artificial Intelligence
Salary usd 180,000 - 2..
Remote Location
Employment Type full-time
Posted YDay
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remote Be aware of the location restriction for this remote position: EST (UTC-5)
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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Sent Follow-Up
Interview Scheduled
Interview Completed
Offer Accepted
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